EP3552047A4 - Heuristik neuronaler netze im feldbetrieb - Google Patents
Heuristik neuronaler netze im feldbetrieb Download PDFInfo
- Publication number
- EP3552047A4 EP3552047A4 EP17878687.7A EP17878687A EP3552047A4 EP 3552047 A4 EP3552047 A4 EP 3552047A4 EP 17878687 A EP17878687 A EP 17878687A EP 3552047 A4 EP3552047 A4 EP 3552047A4
- Authority
- EP
- European Patent Office
- Prior art keywords
- heuristics
- field operation
- neuronal networks
- neuronal
- networks
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V11/00—Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
- G01V11/002—Details, e.g. power supply systems for logging instruments, transmitting or recording data, specially adapted for well logging, also if the prospecting method is irrelevant
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
- G01V1/282—Application of seismic models, synthetic seismograms
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V20/00—Geomodelling in general
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/38—Processing data, e.g. for analysis, for interpretation, for correction
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0464—Convolutional networks [CNN, ConvNet]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/092—Reinforcement learning
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B2200/00—Special features related to earth drilling for obtaining oil, gas or water
- E21B2200/22—Fuzzy logic, artificial intelligence, neural networks or the like
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geophysics (AREA)
- Artificial Intelligence (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Computation (AREA)
- Molecular Biology (AREA)
- Computational Linguistics (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Computing Systems (AREA)
- Biomedical Technology (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Remote Sensing (AREA)
- Environmental & Geological Engineering (AREA)
- Geology (AREA)
- Acoustics & Sound (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Earth Drilling (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201662431853P | 2016-12-09 | 2016-12-09 | |
| PCT/US2017/064801 WO2018106748A1 (en) | 2016-12-09 | 2017-12-06 | Field operations neural network heuristics |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| EP3552047A1 EP3552047A1 (de) | 2019-10-16 |
| EP3552047A4 true EP3552047A4 (de) | 2020-07-29 |
| EP3552047B1 EP3552047B1 (de) | 2024-07-10 |
Family
ID=62491320
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP17878687.7A Active EP3552047B1 (de) | 2016-12-09 | 2017-12-06 | Heuristik neuronaler netze im feldbetrieb |
Country Status (3)
| Country | Link |
|---|---|
| US (2) | US11740384B2 (de) |
| EP (1) | EP3552047B1 (de) |
| WO (1) | WO2018106748A1 (de) |
Families Citing this family (30)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018106748A1 (en) | 2016-12-09 | 2018-06-14 | Schlumberger Technology Corporation | Field operations neural network heuristics |
| US11763143B2 (en) | 2017-04-19 | 2023-09-19 | AIBrain Corporation | Adding deep learning based AI control |
| WO2019036063A1 (en) * | 2017-08-18 | 2019-02-21 | Landmark Graphics Corporation | OPTIMIZATION OF PENETRATION RATES FOR DRILLING WELLS USING MACHINE LEARNING |
| WO2019060411A1 (en) * | 2017-09-19 | 2019-03-28 | Marine Technologies, Llc | CONDITIONAL SYSTEM ONLINE ADVICE ON RISKS (COBRAS) |
| GB2585581B (en) * | 2018-05-09 | 2022-06-01 | Landmark Graphics Corp | Learning based Bayesian optimization for optimizing controllable drilling parameters |
| US12147920B2 (en) | 2018-12-04 | 2024-11-19 | Schlumberger Technology Corporation | Multi-domain planning and execution |
| EP3794528A4 (de) | 2018-05-12 | 2022-01-26 | Services Pétroliers Schlumberger | System zur interpretation von seismischen daten |
| US11288609B2 (en) | 2018-12-04 | 2022-03-29 | Schlumberger Technology Corporation | Systems and methods for executing a plan associated with multiple equipment by using rule-based inference |
| US12524716B2 (en) | 2018-05-15 | 2026-01-13 | Schlumberger Technology Corporation | Operations management network system and method |
| EP3623570A1 (de) * | 2018-09-14 | 2020-03-18 | Shell Internationale Research Maatschappij B.V. | Verfahren zur echtzeit-geologischen lokalisierung mit stochastischem clustering und musterabgleich |
| US20210312332A1 (en) * | 2018-07-31 | 2021-10-07 | Shell Oil Company | Method for simulating a coupled geological and drilling environment for training a function approximating agent |
| WO2020028302A1 (en) * | 2018-07-31 | 2020-02-06 | Shell Oil Company | Process for real time geological localization with reinforcement learning |
| WO2020028298A1 (en) * | 2018-07-31 | 2020-02-06 | Shell Oil Company | Method for geological steering control through reinforcement learning |
| US11585932B2 (en) * | 2018-09-17 | 2023-02-21 | Transocean Sedco Forex Ventures Limited | Systems, methods and apparatus for characterizing stick-up height, position and orientation of a drill pipe |
| US11204761B2 (en) * | 2018-12-03 | 2021-12-21 | International Business Machines Corporation | Data center including cognitive agents and related methods |
| US11354921B2 (en) * | 2019-02-05 | 2022-06-07 | Landmark Graphics Corporation | Generation of digital well schematics |
| WO2020172322A1 (en) * | 2019-02-19 | 2020-08-27 | Google Llc | Controlling agents using latent plans |
| US20200302293A1 (en) * | 2019-03-20 | 2020-09-24 | Exxonmobil Research And Engineering Company | Methods and systems for field development decision optimization |
| US11143775B2 (en) * | 2019-05-09 | 2021-10-12 | Schlumberger Technology Corporation | Automated offset well analysis |
| CN110531429A (zh) * | 2019-08-02 | 2019-12-03 | 中国科学院电子学研究所 | 一种基于监督下降法的时间域电磁数据目标反演方法 |
| US11687778B2 (en) | 2020-01-06 | 2023-06-27 | The Research Foundation For The State University Of New York | Fakecatcher: detection of synthetic portrait videos using biological signals |
| WO2021221682A1 (en) * | 2020-05-01 | 2021-11-04 | Landmark Graphics Corporation | Facilitating hydrocarbon exploration by applying a machine-learning model to basin data |
| US11670073B2 (en) * | 2020-08-25 | 2023-06-06 | Saudi Arabian Oil Company | System and method for detection of carbonate core features from core images |
| EP4271909A4 (de) | 2021-05-13 | 2025-04-09 | Drilldocs Company | Systeme und verfahren zur abbildung und erkennung von objekten |
| US12298459B2 (en) * | 2021-06-14 | 2025-05-13 | Saudi Arabian Oil Company | Flow-after-flow tests in hydrocarbon wells |
| WO2022266504A1 (en) | 2021-06-18 | 2022-12-22 | Drilldocs Company | Systems and methods to determine and control wellbore stability |
| JP7841875B2 (ja) * | 2021-12-22 | 2026-04-07 | 日鉄テックスエンジ株式会社 | 学習モデル作成装置、計画作成装置、学習モデル作成方法、計画作成方法、およびプログラム |
| US12534981B2 (en) | 2022-12-12 | 2026-01-27 | Saudi Arabian Oil Company | Detecting interference between hydrocarbon wells |
| CN117148433B (zh) * | 2023-10-30 | 2023-12-26 | 吉林大学 | 一种基于gpt-l模型的微地震p波s波分类方法 |
| WO2025136438A1 (en) * | 2023-12-06 | 2025-06-26 | Schlumberger Technology Corporation | Foundation models for artificial intelligence-based geoscience solutions |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6549879B1 (en) * | 1999-09-21 | 2003-04-15 | Mobil Oil Corporation | Determining optimal well locations from a 3D reservoir model |
| US20090020284A1 (en) * | 2007-07-20 | 2009-01-22 | Schlumberger Technology Corporation | Apparatus, method and system for stochastic workflow in oilfield operations |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8285531B2 (en) * | 2007-04-19 | 2012-10-09 | Smith International, Inc. | Neural net for use in drilling simulation |
| CA2996880C (en) * | 2015-09-29 | 2021-04-13 | Halliburton Energy Services, Inc. | Big data point and vector model |
| US10346723B2 (en) * | 2016-11-01 | 2019-07-09 | Snap Inc. | Neural network for object detection in images |
| WO2018106748A1 (en) | 2016-12-09 | 2018-06-14 | Schlumberger Technology Corporation | Field operations neural network heuristics |
-
2017
- 2017-12-06 WO PCT/US2017/064801 patent/WO2018106748A1/en not_active Ceased
- 2017-12-06 US US16/466,034 patent/US11740384B2/en active Active
- 2017-12-06 EP EP17878687.7A patent/EP3552047B1/de active Active
-
2023
- 2023-07-06 US US18/347,597 patent/US12061305B2/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6549879B1 (en) * | 1999-09-21 | 2003-04-15 | Mobil Oil Corporation | Determining optimal well locations from a 3D reservoir model |
| US20090020284A1 (en) * | 2007-07-20 | 2009-01-22 | Schlumberger Technology Corporation | Apparatus, method and system for stochastic workflow in oilfield operations |
Non-Patent Citations (2)
| Title |
|---|
| CIRESAN D ET AL: "Multi-column deep neural networks for image classification", COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2012 IEEE CONFERENCE ON, IEEE, 16 June 2012 (2012-06-16), pages 3642 - 3649, XP032232509, ISBN: 978-1-4673-1226-4, DOI: 10.1109/CVPR.2012.6248110 * |
| DAVID SILVER ET AL: "Mastering the game of Go with deep neural networks and tree search", NATURE, vol. 529, no. 7587, 27 January 2016 (2016-01-27), pages 484 - 489, XP055344199, ISSN: 0028-0836, DOI: 10.1038/nature16961 * |
Also Published As
| Publication number | Publication date |
|---|---|
| US11740384B2 (en) | 2023-08-29 |
| US20230341585A1 (en) | 2023-10-26 |
| EP3552047A1 (de) | 2019-10-16 |
| US20190302310A1 (en) | 2019-10-03 |
| WO2018106748A1 (en) | 2018-06-14 |
| EP3552047B1 (de) | 2024-07-10 |
| US12061305B2 (en) | 2024-08-13 |
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